In this paper, a new method for measuring three-dimensional (3D) moving facial shapes is introduced. This method uses two light sources and a slit pattern projector. First, the normal vectors at points on a face are computed by the photometric stereo method with two light sources and a conventional video camera. Next, multiple light stripes are projected onto the face with a slit pattern projector. The 3D coordinates of the points on the stripes are measured using the stereo vision algorithm. The normal vectors are then integrated within 2D finite intervals around the measured points on the stripes. The 3D curved segment within each finite interval is computed by the integration. Finally, all the curved segments are blended into the complete facial shape using a family of exponential functions. By switching the light rays at high speed, the time required for sampling data can be reduced, and the 3D shape of a moving human face at each instant can be measured.
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Hitoshi SAJI, Hiromasa NAKATANI, "Measuring Three-Dimensional Shapes of a Moving Human Face Using Photometric Stereo Method with Two Light Sources and Slit Patterns" in IEICE TRANSACTIONS on Information,
vol. E80-D, no. 8, pp. 795-801, August 1997, doi: .
Abstract: In this paper, a new method for measuring three-dimensional (3D) moving facial shapes is introduced. This method uses two light sources and a slit pattern projector. First, the normal vectors at points on a face are computed by the photometric stereo method with two light sources and a conventional video camera. Next, multiple light stripes are projected onto the face with a slit pattern projector. The 3D coordinates of the points on the stripes are measured using the stereo vision algorithm. The normal vectors are then integrated within 2D finite intervals around the measured points on the stripes. The 3D curved segment within each finite interval is computed by the integration. Finally, all the curved segments are blended into the complete facial shape using a family of exponential functions. By switching the light rays at high speed, the time required for sampling data can be reduced, and the 3D shape of a moving human face at each instant can be measured.
URL: https://global.ieice.org/en_transactions/information/10.1587/e80-d_8_795/_p
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@ARTICLE{e80-d_8_795,
author={Hitoshi SAJI, Hiromasa NAKATANI, },
journal={IEICE TRANSACTIONS on Information},
title={Measuring Three-Dimensional Shapes of a Moving Human Face Using Photometric Stereo Method with Two Light Sources and Slit Patterns},
year={1997},
volume={E80-D},
number={8},
pages={795-801},
abstract={In this paper, a new method for measuring three-dimensional (3D) moving facial shapes is introduced. This method uses two light sources and a slit pattern projector. First, the normal vectors at points on a face are computed by the photometric stereo method with two light sources and a conventional video camera. Next, multiple light stripes are projected onto the face with a slit pattern projector. The 3D coordinates of the points on the stripes are measured using the stereo vision algorithm. The normal vectors are then integrated within 2D finite intervals around the measured points on the stripes. The 3D curved segment within each finite interval is computed by the integration. Finally, all the curved segments are blended into the complete facial shape using a family of exponential functions. By switching the light rays at high speed, the time required for sampling data can be reduced, and the 3D shape of a moving human face at each instant can be measured.},
keywords={},
doi={},
ISSN={},
month={August},}
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TY - JOUR
TI - Measuring Three-Dimensional Shapes of a Moving Human Face Using Photometric Stereo Method with Two Light Sources and Slit Patterns
T2 - IEICE TRANSACTIONS on Information
SP - 795
EP - 801
AU - Hitoshi SAJI
AU - Hiromasa NAKATANI
PY - 1997
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E80-D
IS - 8
JA - IEICE TRANSACTIONS on Information
Y1 - August 1997
AB - In this paper, a new method for measuring three-dimensional (3D) moving facial shapes is introduced. This method uses two light sources and a slit pattern projector. First, the normal vectors at points on a face are computed by the photometric stereo method with two light sources and a conventional video camera. Next, multiple light stripes are projected onto the face with a slit pattern projector. The 3D coordinates of the points on the stripes are measured using the stereo vision algorithm. The normal vectors are then integrated within 2D finite intervals around the measured points on the stripes. The 3D curved segment within each finite interval is computed by the integration. Finally, all the curved segments are blended into the complete facial shape using a family of exponential functions. By switching the light rays at high speed, the time required for sampling data can be reduced, and the 3D shape of a moving human face at each instant can be measured.
ER -